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Diagnosing Antibiotic Resistance Using Nucleic Acid Enzymes and Gold Nanoparticles
Faculty
Science
Year:
2021
Type of Publication:
ZU Hosted
Pages:
9379-9390
Authors:
Mohamed Ahmed Abdo Mohammed
Staff Zu Site
Abstract In Staff Site
Journal:
ACS Nano ACS Publications
Volume:
15
Keywords :
Diagnosing Antibiotic Resistance Using Nucleic Acid Enzymes
Abstract:
The rapid and accurate detection of antimicrobial resistance is critical to limiting the spread of infections and delivering effective treatments. Here, we developed a rapid, sensitive, and simple colorimetric nanodiagnostic platform to identify disease-causing pathogens and their associated antibiotic resistance genes within 2 h. The platform can detect bacteria from different biological samples (i.e., blood, wound swabs) with or without culturing. We validated the multicomponent nucleic acid enzyme−gold nanoparticle (MNAzyme-GNP) platform by screening patients with central line associated bloodstream infections and achieved a clinical sensitivity and specificity of 86% and 100%, respectively. We detected antibiotic resistance in methicillin-resistant Staphylococcus aureus (MRSA) in patient swabs with 90% clinical sensitivity and 95% clinical specificity. Finally, we identified mecA resistance genes in uncultured nasal, groin, axilla, and wound swabs from patients with 90% clinical sensitivity and 95% clinical specificity. The simplicity and versatility for detecting bacteria and antibiotic resistance markers make our platform attractive for the broad screening of microbial pathogens.
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